guo_weibull_series_md
guo_weibull_series_md.Rd
When you use likelihood model that assumes a Weibull series system and candidate sets represented by Boolean vectors (x1, x2, x3) that satisfy conditions C1, C2, and C3, the MLE of the shape and scale parameters are:
guo_weibull_series_md
A list with the following components:
The MLE of the shape and scale parameters
The log-likelihood of the MLE
The data used to compute the MLE
The estimated probability of a non-failed component being in the candidate set
The right-censoring time (infinity)
The family of the likelihood model (weibull series)
β1 = 1.2576
η1 = 994.3661
β2 = 1.1635
η2 = 908.9458
β3 = 1.1308
η3 = 840.1141
θ̂ = (β1, η1, β2, η2, β3, η3)
This has a log-likelihood of -228.6851.